Courses

Develop a data mindset and the analytical skills to interpret and communicate data while applying concepts to real business problems in this course from Harvard Business School (HBS) Online.

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Show what you’ve learned from the Professional Certificate Program in Data Science.

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.

Learn to process and convert raw data into formats needed for analysis.  

Build a foundational understanding of AI concepts with this course from Harvard Business School (HBS) Online.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Data Science and AI Principles is a Harvard Online course that gives you an overview of data science and AI systems with a nearly code- and math-free introduction to prediction, causality, visualization, data wrangling, privacy, ethics.

Learn how to effectively use data to tackle your business decisions. Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information.

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.

Explore the risks and rewards of data privacy and collection.

Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.

Explore the risks and rewards of data privacy and collection.

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Data Science and AI Principles is a Harvard Online course that gives you an overview of data science and AI systems with a nearly code- and math-free introduction to prediction, causality, visualization, data wrangling, privacy, ethics.

Learn basic data visualization principles and how to apply them using ggplot2.

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Master how to use AI in your everyday work and drive impact at your organization. Access on-demand learning modules, expert-led sessions, and Harvard insights that help you apply AI to real business challenges—join today for access through September 2026.

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

Combine literary research with data science to find answers in unexpected ways. Learn basic coding tools to help save time and draw insights from thousands of digital documents at once.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Develop skills in digital research and visualization techniques across subjects and fields within the humanities.

This three-course program from Harvard Business School (HBS) Online will teach you the fundamental skills to confidently contribute to business decisions and decision-making.